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Microservice Design Patterns

Microservices architecture can make functionality more flexible, testable, and scalable. The execution of the architecture has several difficulties, though, which a microservice design pattern can aid in overcoming. This presentation covers several design patterns in depth to assist you in choosing the best one.

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Microservice Design Patterns

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  1. Top Microservice Design Patterns to Use For Your Business

  2. Table of Contents I What are microservices design patterns? II Strangler pattern III Saga pattern IV Aggregator pattern V Event Sourcing VI Command Query Responsibility Segregation (CQRS) VII Sidecar pattern VIII Database per microservice 2

  3. What are microservices design patterns? A microservice consists of independent app components that perform specific functions for a system. It may have a single instance or multiple instances based on the functional requirements. Together with the client-side (web interface and mobile UI) and other integrated services in the intermediate layers, each of these microservices forms a complete architecture. 2

  4. #1. Strangler pattern Originally introduced by Martin Fowler in 2004 with the “StranglerFigApplication” blog post. Allows an incremental and reliable process of refactoring code. Changes are incremental and monitored at all times. 2

  5. #2. Saga pattern One of the microservice design patterns allows you to manage such transactions using a sequence of local transactions. Each transaction is followed by an event that triggers the next transaction step. If one transaction fails, the saga pattern triggers a rollback transaction compensating for the failure. 2

  6. #3. Aggregator pattern This pattern allows you to abstract the business logic from multiple services and aggregate them in a single microservice. So, only one aggregated microservice is exposed to the UI instead of multiple services. 2

  7. #4. Event Sourcing Event sourcing patterns help you tackle these issues by defining a meticulous approach to handling data operations that are driven by a sequence of events. For example, if you consider an eCommerce app, the creation of a shopping cart and the addition or removal of items are events. 2

  8. #5. Command Query Responsibility Segregation This pattern is ideal in cases where the number of data reads is much higher than the number of data writes. In such cases, microservice design patterns like CQRS will help you in scaling the read model separately. 2

  9. #6. Sidecar pattern The sidecar pattern allows you to co-locate additional services within an independent container. Both the core app and sidecar pattern can perform read and write operations with a shared file system. It will enable you to have additional services as a part of the core app without being tightly coupled. 2

  10. #7. Database per microservice Using one extensive database for your microservice architecture can act as an anti-pattern due to the tight coupling of services with the database. So, the solution is to provide every microservice with separate databases. Each microservice will have a data store restricted for other services. 2

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